MSE does not match well with visually perceived differences between images by humans [1]}, [2]}.
To counter this, Wang et al. [3]} introduced the structured similarity metric (SSIM), an distance metric specifically designed for assessment of image/video quality loss due to compression. SSIM is able to look at neighbouring pixels within a pre-defined window.
Concurrently, Li et al. [4]} discovered heuristics from a large dataset to design the dynamic partial distance function (DPF) that better represents perceptual similarity.
In our work, we propose a simplified distance function for structured data like images by incorporating regional sensitivity.
